Papers with Distributional models

    1 papers
    Do Trajectories Encode Verb Meaning? (2022.naacl-main)

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    Challenge: Distributional models learn representations of words from text but lack grounding or the linking of text to the non-linguistic world.
    Approach: They investigate the extent to which trajectories naturally encode verb semantics . they build a procedurally generated agent-object-interaction dataset and compare methods .
    Outcome: The proposed model can capture verb semantics by tracing trajectories and self-supervised pretraining.

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